CN111311406A - Power generator trading capacity control system and method based on concurrent trading of power market - Google Patents
Power generator trading capacity control system and method based on concurrent trading of power market Download PDFInfo
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Abstract
The power market concurrent transaction-based generator transaction capacity control system and method comprises the following steps: the contract decomposition module is used for decomposing the electric quantity in the long-term contract of each power generator of the transaction system based on the space-time identification by adopting a case matching method to obtain a power curve with the space-time identification; the data monitoring module is used for calculating the maximum possible generating capacity of the generator based on a trading capacity calculation formula, updating and calculating the concurrent trading capacity data based on the maximum possible generating capacity of the generator and the power curve with the space-time identification, and monitoring the updated concurrent trading capacity data based on a preset concurrent trading capacity check rule. The invention adopts a case matching method to decompose medium and long-term contracts, thereby improving the reliability of electric power transaction.
Description
Technical Field
The invention relates to an electric power market management method, in particular to a generator trade management and control system and method based on electric power market concurrent trade.
Background
The trading business system of the electric power market belongs to different platforms, the unit model standards are not unified, the business and the modules are strongly coupled and strongly associated, and the system expansibility is poor. In addition, the existing electric power trading data management and control technology only aims at limited trading varieties such as annual, monthly, medium-term and long-term trading in the month, the development of the electric power market is rapid in recent years, and the establishment of a uniformly interconnected trading market is imperative.
With the deep advance of the construction work of the unified interconnected power market, the variety of trades is continuously increased, the concurrent trading scale is rapidly increased, the interconnection and intercommunication business volume among all levels of markets is larger and larger, and the existing data management and control technology cannot meet the requirement of analyzing and controlling the trading capacity of power generators.
Market trading that current power generators can participate in includes on a time scale: annual medium and long term transaction, monthly medium and long term transaction, daily spot transaction, real-time spot transaction and auxiliary service transaction; the space scale comprises inter-provincial transaction and intra-provincial transaction; the method comprises the following steps from a transaction organization mode: direct transaction, bilateral negotiation, centralized bidding, listing and power generation right transaction. In the initial stage of electric power market construction, in the face of so many trade varieties, generators will adopt a declaration strategy of multi-party trial to obtain the best profit mode for participating in the market. However, the real trading capacity of the power generator cannot be mastered in real time for the trading center.
At present, the contract decomposition adopts a common curve decomposition method, namely, the decomposition coefficients of the year, month and day are artificially determined according to experience, wherein the coefficient of a working day is 1, and the coefficient of a rest day is 0.85.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a generator trading control system and method based on electric power market concurrent trading, which reasonably expand the inspection of the boundary condition of the effective generating capacity of a generator, can be implemented on a data control platform and improve the reliability of electric power trading.
A power generator trading capacity management and control system based on power market concurrent trading comprises the following steps:
the contract decomposition module is used for decomposing the electric quantity in the long-term contract of each power generator of the transaction system based on the space-time identification by adopting a case matching method to obtain a power curve with the space-time identification;
the data monitoring module is used for calculating the maximum possible generating capacity of the generator based on a trading capacity calculation formula, updating and calculating the concurrent trading capacity data based on the maximum possible generating capacity of the generator and the power curve with the space-time identification, and monitoring the updated concurrent trading capacity data based on a preset concurrent trading capacity check rule;
the business links comprise a transaction declaration link, a contract compilation process, a plan compilation process and a settlement compilation process.
Preferably, the contract decomposing module includes: the device comprises a first curve generation module and a second curve generation module;
the first curve generation module is used for establishing a generator calendar year load database by adopting a case matching method, determining a year-minute-month decomposition coefficient according to the similarity of an overhaul plan and a holiday date, determining a month-minute-day decomposition coefficient according to the similarity of meteorological data, and obtaining an electric power curve with space-time identification based on the year-minute-month decomposition coefficient and the month-minute-day decomposition coefficient;
and the second curve generation module is used for decomposing the historical cases which are not found in the generator historical year load database by a common curve decomposition method to obtain the power curve with the space-time identification.
Preferably, the system further comprises: and the data verification service module is used for verifying whether the declared electric quantity is smaller than the concurrent transaction capacity of the market members.
Preferably, the data verification service module includes: an interface and judgment submodule;
the judgment submodule is used for verifying whether the declared electric quantity is smaller than the concurrent transaction capacity of the market members when transaction data declaration is carried out, and determining whether the transaction declaration data can be submitted based on a verification result;
and the interface is used for being connected with the judgment submodule and acquiring the concurrent transaction capacity data based on the interface.
Preferably, the system further comprises:
and the message reminding module is used for pushing reminding messages according to the verification result of the data verification service module.
Preferably, the data verification service module includes:
a first judgment submodule and a second judgment submodule;
the first judgment submodule is used for verifying whether the declared electric quantity is smaller than the concurrent transaction capacity of the market members when transaction data declaration is carried out;
and the second judgment submodule is used for determining whether the transaction declaration data can be submitted or not based on the verification result.
Preferably, the system further comprises
And the complaint module is used for proposing complaints to the trading center based on the complaint module when detecting that the verification result of the data verification service module is dissatisfied.
Preferably, the system further comprises a rule configuration module, configured to set a concurrent transaction capability check rule.
A power generator trading capacity control method based on power market concurrent trading comprises the following steps:
decomposing the electric quantity in the long-term contract of each power generator of the transaction system based on the space-time identification by a contract decomposition module by adopting a case matching method to obtain an electric power curve with the space-time identification;
the data monitoring module calculates the maximum possible generating capacity of the generator based on a trading capacity calculation formula, updates and calculates the concurrent trading capacity data based on the maximum possible generating capacity of the generator and the power curve with the space-time identification, and monitors the updated concurrent trading capacity data based on a preset concurrent trading capacity check rule;
the business links comprise a transaction declaration link, a contract compilation process, a plan compilation process and a settlement compilation process.
Preferably, the contract decomposition module decomposes the electric quantity in the long-term contract of each power generator of the transaction system based on the space-time identifier by using a case matching method to obtain an electric power curve with the space-time identifier, and the method includes:
the first curve generation module establishes a generator calendar year load database by adopting a case matching method, determines an annual minute month decomposition coefficient according to the similarity of an overhaul plan and holiday dates, determines a month minute day decomposition coefficient according to the similarity of meteorological data, and obtains an electric power curve with space-time identification based on the annual minute month decomposition coefficient and the month minute day decomposition coefficient;
and the second curve generation module decomposes the historical cases which are not found in the generator historical year load database by a common curve decomposition method to obtain a power curve with space-time identification.
Preferably, the data monitoring module calculates the maximum possible power generation capacity of the power generator based on a trading capacity calculation formula, performs update calculation on the concurrent trading capacity data based on the maximum possible power generation capacity of the power generator and the power curve with the space-time identifier, and monitors the updated concurrent trading capacity data based on a preset concurrent trading capacity check rule, including:
judging the concurrent transaction of the established transaction and the current transaction according to a preset concurrent transaction capability check rule;
after the transaction declaration link is completed, declaring that the non-transaction part in the electric quantity needs to be accounted and added into the concurrent transaction capacity;
after the contract compiling process is finished, the newly signed contract electric quantity of the power generation enterprise in the transaction period needs to be deducted from the concurrent transaction capacity;
after the planning process is finished, the electric quantity planning data of the power generation enterprise in the trading period need to be deducted after the planning process is finished if the electric quantity planning data is not deducted from the trading capacity after the trading and contract process is finished;
after the settlement compiling process is finished, the settlement result does not need to be deducted from the concurrent transaction capacity;
and the data monitoring module performs updating calculation of concurrent transaction capability data based on the completion of any business link.
Preferably, the similarity is calculated as:
in the formula: x is a characteristic value of X corresponding to a case input in a target month of year or a target day of month; xkInputting a characteristic value of X for a history case in a kth annual case base or a monthly case base; w is aiInputting the weight of the ith attribute parameter, wherein the value is more than or equal to zero and the sum of the values is 1; x is the number ofik: the ith parameter value for the kth history case.
Preferably, the concurrent transaction capability check rule is set by a rule configuration module.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention provides a power generator trading capacity management and control system based on concurrent trading of a power market, which comprises a contract decomposition module, a time-space identification and a time-space identification, wherein the contract decomposition module is used for decomposing the electric quantity in medium and long-term contracts of each power generator of a trading system based on the time-space identification by adopting a case matching method to obtain a power curve with the time-space identification; the rule configuration module is used for setting a concurrent transaction capability verification rule in a script editing mode; and the data monitoring module monitors the change of the concurrent transaction capability data in each business link by a concurrent transaction capability checking rule preset by the rule configuration module, and updates and calculates the concurrent transaction capability data based on the maximum possible power generation capability of a power generator and the power curve with the space-time identification obtained by the contract decomposition module after any business link influencing the concurrent transaction capability is finished. The invention adopts a case matching method to decompose medium and long-term contracts and improves the reliability of electric power transaction.
2. The technical scheme provided by the invention reasonably expands the inspection of the boundary condition of the effective generating capacity of the generator, and can be implemented on a data management and control platform.
Drawings
FIG. 1 is a schematic diagram of a generator trading capacity management and control system for concurrent trading in an electric power market according to the present invention;
FIG. 2 is a schematic diagram of a generator trading capacity management system for concurrent trading in an electric power market according to an embodiment of the present invention;
FIG. 3 is a case-matched medium and long term contract decomposition flow diagram of the present invention;
FIG. 4 is a data cleaning flow chart of the k-means clustering algorithm of the present invention;
fig. 5 is a schematic diagram of a data interaction structure of the data verification function module according to the present invention.
Detailed Description
The invention discloses a generator trading capacity control method and system based on concurrent transaction of an electric power market.
Example 1: a power market concurrent transaction-based generator transaction capability management and control system, as shown in fig. 1:
the contract decomposition module is used for decomposing the electric quantity in the long-term contract of each power generator of the transaction system based on the space-time identification by adopting a case matching method to obtain a power curve with the space-time identification;
the data monitoring module is used for calculating the maximum possible generating capacity of the generator based on a trading capacity calculation formula, updating and calculating the concurrent trading capacity data based on the maximum possible generating capacity of the generator and the power curve with the space-time identification, and monitoring the updated concurrent trading capacity data based on a preset concurrent trading capacity check rule;
the business links comprise a transaction declaration link, a contract compilation process, a plan compilation process and a settlement compilation process.
Specifically, the embodiment of the generator trading capacity management and control system for power market concurrent trading shown in fig. 2 is as follows:
(1) the system is divided into six parts, namely a contract decomposition module, a rule configuration module, a data monitoring module, a data verification service module, a message reminding module and a complaint module.
(2) The contract decomposition module is used for decomposing medium and long-term contracts, and aims to decompose electric quantity without space-time identification of the traditional medium and long-term contracts into an electric power curve with space-time identification so as to realize connection with spot transactions.
At present, the contract decomposition adopts a common curve decomposition method, namely, the decomposition coefficients of the year, month and day are artificially determined according to experience, wherein the coefficient of a working day is 1, and the coefficient of a rest day is 0.85. Therefore, a case matching method is adopted, namely a generator calendar year load database is established, a year-minute-month decomposition coefficient is determined according to the similarity of the overhaul plan and the holiday date, and a month-minute-day decomposition coefficient is determined according to the similarity of the meteorological data, and the specific steps are as follows by combining with the steps shown in fig. 4:
acquiring historical data, inputting the historical data, and clustering the input data by adopting K-means clustering; carrying out case retrieval based on the clustered data, and creating a annual case base and a monthly case base based on the retrieved cases;
selecting a target month similar to the year from the annual case library and selecting historical cases similar to the target day of the month from the monthly case library by adopting a nearest neighbor algorithm, and respectively forming a historical case set;
and when a historical case set exists, reusing the case to obtain a power curve with space-time identification, otherwise, adopting a conventional curve decomposition method to obtain the power curve with the space-time identification.
1) And (3) data preprocessing, namely verifying the authenticity of the data, clustering historical data by adopting a K-means clustering method, and removing abnormal data which do not conform to normal distribution according to a clustering result.
As shown in fig. 3:
Step 2 calculating sample density MiDetermining a first cluster center v1；
Step 3, correcting density indexes of all sample points, and finding out other clustering centers;
step 4, judging whether the ratio of the density of the (K + 1) th sample to the density of the Kth sample is smaller than a preset value delta or not;
if the value is less than the preset value, entering the step 5, otherwise, returning to the step 3;
step 5, obtaining clustering data c and a clustering center;
step 6, calculating membership degree uijAnd an objective function Jm；
Step 7 modifying the clustering center v
if the value is less than the preset value, the step 9 is carried out, otherwise, the step 7 is returned;
and step 9: and obtaining an initial case base, and eliminating abnormal data according to a data normal distribution rule.
2) A annual case base and a monthly case base are created. The annual case table data includes: year, holiday days in the current month, maintenance plan in the current month, heat supply days in the current month, average ambient temperature in the current month, and load of a unit in the current month; monthly case table data includes: the load of the unit on the same day, whether the current day is a working day or not, and the ambient temperature (the ambient temperature in the case base is the real ambient temperature recorded at that time, and the ambient temperature in the input amount is the weather forecast temperature in the next month of the current year).
3) Case representation.
Annual case: cyear＝[Xholiday,Xoverhaul,Xheat,Xtemperature,Yload]
In the formula: xholidayThe number of holiday days in the same month; xoverhaulThe number of days for overhaul in the same month; xheatDays for heat supply in the same month; xtemperatureThe average temperature in the current month; y isloadIs the unit load.
Monthly case: cmonth＝[Xholiday,Xtemperature,Yload]
In the formula: xholidayThe state is the holiday state on the same day, 0 is the working day, and 1 is the holiday; xtemperatureIs ambient temperature; y isloadIs the unit load.
4) And (5) case retrieval. Here, a nearest neighbor algorithm is used to calculate the similarity between the target scheme and the historical case, and the formula is as follows:
in the formula: inputting a characteristic value of X for the target case; x is the number ofik: the ith parameter value of the kth historical case; xkInputting a characteristic value of X for the kth historical case; omegaiTo input the weight of the ith attribute parameter, the value is equal to zero and the sum is 1.
Calculated as a result, will be greater than the threshold value Th(Th0.8) constitute a historical case set H ═ HXYAnd if H is an empty set, indicating that no history case matching the current target case exists in the case base, decomposing the case base by using a common curveCarrying out decomposition; if H is not empty, proceed to the next step.
5) Case reuse
The cases in the historical case set H are arranged according to the similarity from big to small, and the prior p cases are selected to be weighted and averaged according to the corresponding similarity to obtain a suggested output, namely a contract decomposition result; meanwhile, the whole calculation process is provided with a time label, so that the calculation result is a power curve with space-time identification.
(3) The concurrent transaction capability check rule is set in the rule setting module in a script editing mode, and comprises a monitoring rule of a curing mode and a monitoring rule of an autonomous editing mode, for example:
1) transaction success judging function (done _ Judge)
Transaction execution state 1and transaction completion state 1
2) Concurrent transaction judgement function (conflrency _ trade) of current transaction
Transaction execution state 1and transaction declaration state 1and transaction completion state 0
(4) The data time periods in the rule judgment conditions must be kept consistent, that is, the data such as the maximum power generation capacity, the planned electric quantity and the like of market members must be calculated according to the starting time and the ending time of the current declaration transaction.
(5) Concurrent transaction capability calculation formula:
fable(x)＝fmax(x)-farrange(x)-fcontract(x)-fdeal(x)-fconcurrence(x)
in the formula: f. ofable(x) Trading capacity for a generator; f. ofmax(x) The maximum possible power generation capacity of a power generator; f. ofarrange(x) Planning for the scheduled power; f. ofcontract(x) Contracted electric quantity is contract; f. ofdeal(x) The amount of electricity has been committed for the transaction; f. ofconcurrence(x) The reported amount of power submitted for concurrent transactions.
(6) The trading capacity calculation formula takes into account the impact of the amount of declared power submitted by the trades concurrent with the current trade, but it is noted that this impact is only on those trades in the concurrent trade that do not issue a trade outcome. Once the result of the concurrent transaction is released, if the market member wins the bid, the influence of the transaction on the transaction capability of the market member is reflected by the transaction successful electric quantity, and if the market member does not win the bid, the declaration electric quantity does not influence the transaction capability of the market member any more. Therefore, in practical application, the trading capacity of the market member needs to be updated and calculated in time according to the execution state of each concurrent trade.
(7) The monitoring of the concurrent transaction capability data is based on a concurrent transaction capability calculation method, and the concurrent transaction capability data is calculated and intensively displayed in a plurality of business links such as transaction, contract, plan, settlement and the like. The monitoring of the concurrent transaction capability data is carried out by combining the incidence relation among the business processes of the transaction operation system, and the updating calculation of the concurrent transaction capability data is carried out after all the business processes or links influencing the concurrent transaction capability are completed.
(8) The verification function of the concurrent transaction capability data relates to a plurality of transaction varieties, the declaration and execution conditions of different transaction varieties relate to different systems such as transaction, scheduling, finance and the like, the verification function is integrated in the submission operation of transaction data declaration, and when the business specializes to click a 'submission' button to submit the transaction data, the verification function of the concurrent transaction capability data is called to judge whether the declaration electric quantity is smaller than the concurrent transaction capability of the market member. If the verification is passed, the transaction declaration data can be submitted, otherwise, the prompt data exceeds the concurrent transaction capability limit and must be returned for modification. And timing verification of concurrent transaction capability data can be carried out in a background resident mode in other links, if the verification fails, a user is informed through a message reminding mechanism, and related business processes are controlled in a manual intervention mode.
The data interaction of the logarithmic data verification function is shown in fig. 5:
the data interaction channel of the whole data checking function module comprises three modes of an internal network, an external network and the Internet. 1) The network security is realized by physical isolation between the internal network and the external network, and the data exchange adopts a message transmission mode, so that the method has the advantages of isolating the coupling relation between a message producer and a consumer, supporting asynchronous transmission and having good portability and expansibility. 2) In order to improve the data interaction efficiency and save the system construction cost, the data transmission among the transaction system, the scheduling system and the financial system adopts E language format files which are universal for the electric power system. 3) The information transmission between the information issuing system and the generator adopts a W/B mode, the information issuing system server is arranged in a trading center machine room, and the generator can complete declaration and information query only through a browser or a client.
(9) And the concurrent transaction capability checking function is issued in an external service mode, and a uniform calling interface is provided for the outside. The service application which needs to call the function provides corresponding parameters and calls the interface to complete the instant check of the concurrent transaction capability data or the concurrent transaction capability check of the transaction declaration data.
(10) And the verification process of the concurrent transaction capability data comprises the steps of analyzing the rules, retrieving the data and calculating according to the set concurrent transaction capability data verification rule. The concurrent transaction capability check rule is set in a script mode, so that data retrieval and calculation can be completed by directly executing the script in database management software after the script is translated into database language, and whether the current transaction declaration electric quantity is reasonable can be judged by comparing the actual transaction electric quantity declaration data with the calculated value of the concurrent transaction capability data.
(11) The verification result of the concurrent transaction capability data of the message reminding module is given by the return value of the verification service, 0 represents passing, and 1 represents failing. And the business application calling the verification service carries out corresponding message reminding according to the return value. In the transaction data declaration link, the system immediately pushes a reminding message according to the return value of the verification service and controls the transaction business flow, and for the timing concurrent transaction capability data verification executed by the resident program, an online message reminding is provided by a message service mechanism of the system according to the verification result.
(12) The abnormal information of the verification result can also be sent in the modes of mobile phone short messages, e-mails and the like based on the contact mode registered by the user in the system.
(13) If the generator disagrees with the verification result, a complaint can be issued to the trading center through a complaint interface provided by the platform, and the trading center performs accounting again after receiving the complaint request.
Example 2:
the invention also provides a generator trading capacity control method based on the concurrent trading of the power market, which comprises the following steps:
decomposing the electric quantity in the long-term contract of each power generator of the transaction system based on the space-time identification by a contract decomposition module by adopting a case matching method to obtain an electric power curve with the space-time identification;
the data monitoring module calculates the maximum possible generating capacity of the generator based on a trading capacity calculation formula, updates and calculates the concurrent trading capacity data based on the maximum possible generating capacity of the generator and the power curve with the space-time identification, and monitors the updated concurrent trading capacity data based on a preset concurrent trading capacity check rule;
the business links comprise a transaction declaration link, a contract compilation process, a plan compilation process and a settlement compilation process.
Furthermore, the contract decomposition module decomposes the electric quantity in the long-term contract of each power generator of the transaction system based on the space-time identifier by adopting a case matching method to obtain an electric power curve with the space-time identifier, and the method comprises the following steps:
the first curve generation module establishes a generator calendar year load database by adopting a case matching method, determines an annual minute month decomposition coefficient according to the similarity of an overhaul plan and holiday dates, determines a month minute day decomposition coefficient according to the similarity of meteorological data, and obtains an electric power curve with space-time identification based on the annual minute month decomposition coefficient and the month minute day decomposition coefficient;
and the second curve generation module decomposes the historical cases which are not found in the generator historical year load database by a common curve decomposition method to obtain a power curve with space-time identification.
Furthermore, the data monitoring module calculates the maximum possible power generation capacity of the power generator based on a trading capacity calculation formula, updates and calculates the concurrent trading capacity data based on the maximum possible power generation capacity of the power generator and the power curve with the space-time identifier, and monitors the updated concurrent trading capacity data based on a preset concurrent trading capacity check rule, and the data monitoring module includes:
judging the concurrent transaction of the established transaction and the current transaction according to a preset concurrent transaction capability check rule;
after the transaction declaration link is completed, declaring that the non-transaction part in the electric quantity needs to be accounted and added into the concurrent transaction capacity;
after the contract compiling process is finished, the newly signed contract electric quantity of the power generation enterprise in the transaction period needs to be deducted from the concurrent transaction capacity;
after the planning process is finished, the electric quantity planning data of the power generation enterprise in the trading period need to be deducted after the planning process is finished if the electric quantity planning data is not deducted from the trading capacity after the trading and contract process is finished;
after the settlement compiling process is finished, the settlement result does not need to be deducted from the concurrent transaction capacity;
and the data monitoring module performs updating calculation of concurrent transaction capability data based on the completion of any business link.
Further, the similarity is calculated as:
in the formula: x is a characteristic value of X corresponding to a case input in a target month of year or a target day of month; xkInputting a characteristic value of X for a history case in a kth annual case base or a monthly case base; omegaiInputting the weight of the ith attribute parameter, wherein the value is more than or equal to zero and the sum of the values is 1; x is the number ofik: the ith parameter value of the kth historical case; x is the number ofi: the ith parameter value.
Furthermore, the concurrent transaction capability check rule is set by the rule configuration module.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The present invention is not limited to the above embodiments, and any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention are included in the scope of the claims of the present invention which are filed as the application.
Claims (13)
1. A generator trading capacity management and control system based on power market concurrent trading is characterized by comprising:
the contract decomposition module is used for decomposing the electric quantity in the long-term contract of each power generator of the transaction system based on the space-time identification by adopting a case matching method to obtain a power curve with the space-time identification;
the data monitoring module is used for calculating the maximum possible generating capacity of the generator based on a trading capacity calculation formula, updating and calculating the concurrent trading capacity data based on the maximum possible generating capacity of the generator and the power curve with the space-time identification, and monitoring the updated concurrent trading capacity data based on a preset concurrent trading capacity check rule;
the business links comprise a transaction declaration link, a contract compilation process, a plan compilation process and a settlement compilation process.
2. The system of claim 1, wherein the contract break module comprises: the device comprises a first curve generation module and a second curve generation module;
the first curve generation module is used for establishing a generator calendar year load database by adopting a case matching method, determining a year-minute-month decomposition coefficient according to the similarity of an overhaul plan and a holiday date, determining a month-minute-day decomposition coefficient according to the similarity of meteorological data, and obtaining an electric power curve with space-time identification based on the year-minute-month decomposition coefficient and the month-minute-day decomposition coefficient;
and the second curve generation module is used for decomposing the historical cases which are not found in the generator historical year load database by a common curve decomposition method to obtain the power curve with the space-time identification.
3. The system of claim 1, wherein the system further comprises: and the data verification service module is used for verifying whether the declared electric quantity is smaller than the concurrent transaction capacity of the market members.
4. The system of claim 1, wherein the data verification service module comprises: an interface and judgment submodule;
the judgment submodule is used for verifying whether the declared electric quantity is smaller than the concurrent transaction capacity of the market members when transaction data declaration is carried out, and determining whether the transaction declaration data can be submitted based on a verification result;
and the interface is used for being connected with the judgment submodule and acquiring the concurrent transaction capacity data based on the interface.
5. The system of claim 1, wherein the system further comprises:
and the message reminding module is used for pushing reminding messages according to the verification result of the data verification service module.
6. The system of claim 1, wherein the data verification service module comprises: a first judgment submodule and a second judgment submodule;
the first judgment submodule is used for verifying whether the declared electric quantity is smaller than the concurrent transaction capacity of the market members when transaction data declaration is carried out;
and the second judgment submodule is used for determining whether the transaction declaration data can be submitted or not based on the verification result.
7. The system of claim 6, further comprising
And the complaint module is used for proposing complaints to the trading center based on the complaint module when detecting that the verification result of the data verification service module is dissatisfied.
8. The system of claim 1, further comprising a rule configuration module to set concurrent transaction capability check rules.
9. A generator trading capacity control method based on power market concurrent trading is characterized by comprising the following steps:
decomposing the electric quantity in the long-term contract of each power generator of the transaction system based on the space-time identification by a contract decomposition module by adopting a case matching method to obtain an electric power curve with the space-time identification;
the data monitoring module calculates the maximum possible generating capacity of the generator based on a trading capacity calculation formula, updates and calculates the concurrent trading capacity data based on the maximum possible generating capacity of the generator and the power curve with the space-time identification, and monitors the updated concurrent trading capacity data based on a preset concurrent trading capacity check rule;
the business links comprise a transaction declaration link, a contract compilation process, a plan compilation process and a settlement compilation process.
10. The method as claimed in claim 9, wherein the decomposing the electricity quantity in the long-term contract of each power generator of the trading system based on the space-time identifier by the contract decomposing module using case matching method to obtain the power curve with the space-time identifier comprises:
the first curve generation module establishes a generator calendar year load database by adopting a case matching method, determines an annual minute month decomposition coefficient according to the similarity of an overhaul plan and holiday dates, determines a month minute day decomposition coefficient according to the similarity of meteorological data, and obtains an electric power curve with space-time identification based on the annual minute month decomposition coefficient and the month minute day decomposition coefficient;
and the second curve generation module decomposes the historical cases which are not found in the generator historical year load database by a common curve decomposition method to obtain a power curve with space-time identification.
11. The method of claim 9, wherein the data monitoring module calculates a maximum possible power generation capacity of a generator based on a trading capacity calculation formula and performs an update calculation of the concurrent trading capacity data based on the maximum possible power generation capacity of the generator and the power curve with the space-time identifier, and simultaneously monitors the updated concurrent trading capacity data based on a preset concurrent trading capacity check rule, and the method comprises the following steps:
judging the concurrent transaction of the established transaction and the current transaction according to a preset concurrent transaction capability check rule;
after the transaction declaration link is completed, declaring that the non-transaction part in the electric quantity needs to be accounted and added into the concurrent transaction capacity;
after the contract compiling process is finished, the newly signed contract electric quantity of the power generation enterprise in the transaction period needs to be deducted from the concurrent transaction capacity;
after the planning process is finished, the electric quantity planning data of the power generation enterprise in the trading period need to be deducted after the planning process is finished if the electric quantity planning data is not deducted from the trading capacity after the trading and contract process is finished;
after the settlement compiling process is finished, the settlement result does not need to be deducted from the concurrent transaction capacity;
and the data monitoring module performs updating calculation of concurrent transaction capability data based on the completion of any business link.
12. The method of claim 10, wherein the similarity is calculated as:
in the formula: x is a characteristic value of X corresponding to a case input in a target month of year or a target day of month; xkInputting a characteristic value of X for a history case in a kth annual case base or a monthly case base; w is aiInputting the weight of the ith attribute parameter, wherein the value is more than or equal to zero and the sum of the values is 1; x is the number ofik: the ith parameter value for the kth history case.
13. The method of claim 9, wherein the concurrent transaction capability checking rule is set by a rule configuration module.
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| CN113780809A (en) * | 2021-09-10 | 2021-12-10 | 国网甘肃电力公司 | Power grid thermal control system oriented to electric power market |
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| JP2007058760A (en) * | 2005-08-26 | 2007-03-08 | Mitsubishi Electric Corp | Energy transaction support system and energy transaction support program |
| CN110517164A (en) * | 2019-08-19 | 2019-11-29 | 国网山西省电力公司 | The generation schedulecurve of long-term contract decomposes and settlement method and system in consideration |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| JP2007058760A (en) * | 2005-08-26 | 2007-03-08 | Mitsubishi Electric Corp | Energy transaction support system and energy transaction support program |
| CN110517164A (en) * | 2019-08-19 | 2019-11-29 | 国网山西省电力公司 | The generation schedulecurve of long-term contract decomposes and settlement method and system in consideration |
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| CN113780809A (en) * | 2021-09-10 | 2021-12-10 | 国网甘肃电力公司 | Power grid thermal control system oriented to electric power market |
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